Publisher: Inderscience Publishers   (Total: 447 journals)

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Showing 201 - 400 of 447 Journals sorted alphabetically
Intl. J. of Indian Culture and Business Management     Hybrid Journal  
Intl. J. of Industrial and Systems Engineering     Hybrid Journal   (Followers: 11, SJR: 0.34, CiteScore: 1)
Intl. J. of Industrial Electronics and Drives     Hybrid Journal   (Followers: 3)
Intl. J. of Information and Coding Theory     Hybrid Journal   (Followers: 7)
Intl. J. of Information and Communication Technology     Hybrid Journal   (Followers: 8, SJR: 0.13, CiteScore: 0)
Intl. J. of Information and Computer Security     Hybrid Journal   (Followers: 16, SJR: 0.141, CiteScore: 0)
Intl. J. of Information and Decision Sciences     Hybrid Journal   (Followers: 10, SJR: 0.233, CiteScore: 1)
Intl. J. of Information and Operations Management Education     Hybrid Journal   (Followers: 8)
Intl. J. of Information Privacy, Security and Integrity     Hybrid Journal   (Followers: 27)
Intl. J. of Information Quality     Hybrid Journal   (Followers: 3, SJR: 0.111, CiteScore: 0)
Intl. J. of Information Systems and Change Management     Hybrid Journal   (Followers: 12, SJR: 0.141, CiteScore: 0)
Intl. J. of Information Systems and Management     Hybrid Journal   (Followers: 4)
Intl. J. of Information Technology and Management     Hybrid Journal   (Followers: 12, SJR: 0.12, CiteScore: 0)
Intl. J. of Information Technology, Communications and Convergence     Hybrid Journal   (Followers: 16)
Intl. J. of Innovation and Learning     Hybrid Journal   (Followers: 25, SJR: 0.26, CiteScore: 1)
Intl. J. of Innovation and Regional Development     Hybrid Journal   (Followers: 7)
Intl. J. of Innovation and Sustainable Development     Hybrid Journal   (Followers: 10, SJR: 0.271, CiteScore: 1)
Intl. J. of Innovation in Education     Hybrid Journal   (Followers: 9)
Intl. J. of Innovative Computing and Applications     Hybrid Journal   (Followers: 3, SJR: 0.144, CiteScore: 1)
Intl. J. of Instrumentation Technology     Hybrid Journal   (Followers: 6)
Intl. J. of Integrated Supply Management     Hybrid Journal   (Followers: 4, SJR: 0.263, CiteScore: 1)
Intl. J. of Intellectual Property Management     Hybrid Journal   (Followers: 30, SJR: 0.101, CiteScore: 0)
Intl. J. of Intelligence and Sustainable Computing     Hybrid Journal   (Followers: 1)
Intl. J. of Intelligent Defence Support Systems     Hybrid Journal   (Followers: 5)
Intl. J. of Intelligent Engineering Informatics     Hybrid Journal  
Intl. J. of Intelligent Enterprise     Hybrid Journal   (Followers: 1, SJR: 0.138, CiteScore: 0)
Intl. J. of Intelligent Information and Database Systems     Hybrid Journal   (Followers: 3, SJR: 0.11, CiteScore: 0)
Intl. J. of Intelligent Internet of Things Computing     Hybrid Journal   (Followers: 1)
Intl. J. of Intelligent Machines and Robotics     Hybrid Journal   (Followers: 1)
Intl. J. of Intelligent Systems Design and Computing     Hybrid Journal  
Intl. J. of Intelligent Systems Technologies and Applications     Hybrid Journal   (Followers: 2, SJR: 0.152, CiteScore: 0)
Intl. J. of Intercultural Information Management     Hybrid Journal   (Followers: 12)
Intl. J. of Internet and Enterprise Management     Hybrid Journal   (Followers: 1)
Intl. J. of Internet Manufacturing and Services     Hybrid Journal   (Followers: 1, SJR: 0.118, CiteScore: 0)
Intl. J. of Internet Marketing and Advertising     Hybrid Journal   (Followers: 20, SJR: 0.223, CiteScore: 1)
Intl. J. of Internet of Things and Cyber-Assurance     Hybrid Journal  
Intl. J. of Internet Protocol Technology     Hybrid Journal   (Followers: 2, SJR: 0.139, CiteScore: 1)
Intl. J. of Internet Technology and Secured Transactions     Hybrid Journal   (Followers: 8, SJR: 0.217, CiteScore: 0)
Intl. J. of Inventory Research     Hybrid Journal   (Followers: 2)
Intl. J. of Islamic Marketing and Branding     Hybrid Journal   (Followers: 6)
Intl. J. of Knowledge and Learning     Hybrid Journal   (Followers: 4, SJR: 0.103, CiteScore: 0)
Intl. J. of Knowledge and Web Intelligence     Hybrid Journal   (Followers: 42)
Intl. J. of Knowledge Engineering and Data Mining     Hybrid Journal   (Followers: 42)
Intl. J. of Knowledge Engineering and Soft Data Paradigms     Hybrid Journal   (Followers: 2)
Intl. J. of Knowledge Management in Tourism and Hospitality     Hybrid Journal   (Followers: 3)
Intl. J. of Knowledge Management Studies     Hybrid Journal   (Followers: 32, SJR: 0.111, CiteScore: 0)
Intl. J. of Knowledge-Based Development     Hybrid Journal   (Followers: 5, SJR: 0.278, CiteScore: 1)
Intl. J. of Lean Enterprise Research     Hybrid Journal   (Followers: 2)
Intl. J. of Learning and Change     Hybrid Journal   (Followers: 12, SJR: 0.189, CiteScore: 0)
Intl. J. of Learning and Intellectual Capital     Hybrid Journal   (Followers: 2, SJR: 0.228, CiteScore: 1)
Intl. J. of Learning Technology     Hybrid Journal   (Followers: 9, SJR: 0.184, CiteScore: 1)
Intl. J. of Leisure and Tourism Marketing     Hybrid Journal   (Followers: 20)
Intl. J. of Liability and Scientific Enquiry     Hybrid Journal   (Followers: 1)
Intl. J. of Lifecycle Performance Engineering     Hybrid Journal   (Followers: 1)
Intl. J. of Logistics Economics and Globalisation     Hybrid Journal   (Followers: 6)
Intl. J. of Logistics Systems and Management     Hybrid Journal   (Followers: 12, SJR: 0.371, CiteScore: 1)
Intl. J. of Low Radiation     Hybrid Journal   (Followers: 1, SJR: 0.115, CiteScore: 0)
Intl. J. of Machine Intelligence and Sensory Signal Processing     Hybrid Journal   (Followers: 4)
Intl. J. of Machining and Machinability of Materials     Hybrid Journal   (Followers: 6, SJR: 0.408, CiteScore: 1)
Intl. J. of Management and Decision Making     Hybrid Journal   (Followers: 7, SJR: 0.233, CiteScore: 1)
Intl. J. of Management and Enterprise Development     Hybrid Journal   (SJR: 0.164, CiteScore: 0)
Intl. J. of Management and Network Economics     Hybrid Journal  
Intl. J. of Management Concepts and Philosophy     Hybrid Journal   (Followers: 3)
Intl. J. of Management Development     Hybrid Journal   (Followers: 11)
Intl. J. of Management in Education     Hybrid Journal   (Followers: 8, SJR: 0.209, CiteScore: 0)
Intl. J. of Management Practice     Hybrid Journal   (Followers: 4, SJR: 0.127, CiteScore: 0)
Intl. J. of Managerial and Financial Accounting     Hybrid Journal   (Followers: 9, SJR: 0.195, CiteScore: 1)
Intl. J. of Manufacturing Research     Hybrid Journal   (Followers: 8, SJR: 0.411, CiteScore: 1)
Intl. J. of Manufacturing Technology and Management     Hybrid Journal   (Followers: 9, SJR: 0.159, CiteScore: 0)
Intl. J. of Markets and Business Systems     Hybrid Journal  
Intl. J. of Masonry Research and Innovation     Hybrid Journal   (Followers: 1)
Intl. J. of Mass Customisation     Hybrid Journal  
Intl. J. of Materials and Product Technology     Hybrid Journal   (Followers: 3, SJR: 0.23, CiteScore: 1)
Intl. J. of Materials and Structural Integrity     Hybrid Journal   (Followers: 8, SJR: 0.369, CiteScore: 0)
Intl. J. of Materials Engineering Innovation     Hybrid Journal   (Followers: 2, SJR: 0.178, CiteScore: 0)
Intl. J. of Mathematical Modelling and Numerical Optimisation     Hybrid Journal   (Followers: 6, SJR: 0.157, CiteScore: 0)
Intl. J. of Mathematics in Operational Research     Hybrid Journal   (Followers: 1, SJR: 0.322, CiteScore: 1)
Intl. J. of Mechanisms and Robotic Systems     Hybrid Journal   (Followers: 1)
Intl. J. of Mechatronics and Automation     Hybrid Journal   (Followers: 6, SJR: 0.129, CiteScore: 1)
Intl. J. of Mechatronics and Manufacturing Systems     Hybrid Journal   (Followers: 2, SJR: 0.199, CiteScore: 0)
Intl. J. of Medical Engineering and Informatics     Hybrid Journal   (Followers: 4, SJR: 0.181, CiteScore: 0)
Intl. J. of Metadata, Semantics and Ontologies     Hybrid Journal   (Followers: 11, SJR: 0.173, CiteScore: 1)
Intl. J. of Metaheuristics     Hybrid Journal   (Followers: 1)
Intl. J. of Microstructure and Materials Properties     Hybrid Journal   (Followers: 8, SJR: 0.148, CiteScore: 0)
Intl. J. of Migration and Border Studies     Hybrid Journal   (Followers: 18)
Intl. J. of Migration and Residential Mobility     Hybrid Journal   (Followers: 10)
Intl. J. of Mining and Mineral Engineering     Hybrid Journal   (Followers: 8, SJR: 0.232, CiteScore: 1)
Intl. J. of Mobile Communications     Hybrid Journal   (Followers: 9, SJR: 0.665, CiteScore: 2)
Intl. J. of Mobile Learning and Organisation     Hybrid Journal   (Followers: 17, SJR: 0.85, CiteScore: 2)
Intl. J. of Mobile Network Design and Innovation     Hybrid Journal   (Followers: 2, SJR: 0.123, CiteScore: 1)
Intl. J. of Modelling in Operations Management     Hybrid Journal   (Followers: 4)
Intl. J. of Modelling, Identification and Control     Hybrid Journal   (Followers: 1, SJR: 0.401, CiteScore: 2)
Intl. J. of Monetary Economics and Finance     Hybrid Journal   (Followers: 9, SJR: 0.237, CiteScore: 1)
Intl. J. of Multicriteria Decision Making     Hybrid Journal   (Followers: 8, SJR: 0.181, CiteScore: 0)
Intl. J. of Multimedia Intelligence and Security     Hybrid Journal   (Followers: 9)
Intl. J. of Multinational Corporation Strategy     Hybrid Journal  
Intl. J. of Multivariate Data Analysis     Hybrid Journal   (Followers: 2)
Intl. J. of Nano and Biomaterials     Hybrid Journal   (Followers: 9, SJR: 0.111, CiteScore: 0)
Intl. J. of Nanomanufacturing     Hybrid Journal   (SJR: 0.17, CiteScore: 0)
Intl. J. of Nanoparticles     Hybrid Journal   (Followers: 1, SJR: 0.167, CiteScore: 1)
Intl. J. of Nanotechnology     Hybrid Journal   (Followers: 7, SJR: 0.202, CiteScore: 0)
Intl. J. of Network Science     Hybrid Journal   (Followers: 3)
Intl. J. of Networking and Virtual Organisations     Hybrid Journal   (Followers: 14, SJR: 0.163, CiteScore: 0)
Intl. J. of Nonlinear Dynamics and Control     Hybrid Journal   (Followers: 5)
Intl. J. of Nuclear Desalination     Hybrid Journal   (Followers: 1)
Intl. J. of Nuclear Energy Science and Technology     Hybrid Journal   (Followers: 3, SJR: 0.246, CiteScore: 0)
Intl. J. of Nuclear Governance, Economy and Ecology     Hybrid Journal   (Followers: 1)
Intl. J. of Nuclear Hydrogen Production and Applications     Hybrid Journal   (Followers: 1)
Intl. J. of Nuclear Knowledge Management     Hybrid Journal   (Followers: 1)
Intl. J. of Nuclear Law     Hybrid Journal   (Followers: 4)
Intl. J. of Nuclear Safety and Security     Hybrid Journal   (Followers: 1)
Intl. J. of Ocean Systems Management     Hybrid Journal   (Followers: 3)
Intl. J. of Oil, Gas and Coal Technology     Hybrid Journal   (Followers: 9, SJR: 0.265, CiteScore: 1)
Intl. J. of Operational Research     Hybrid Journal   (Followers: 3, SJR: 0.467, CiteScore: 1)
Intl. J. of Organisational Design and Engineering     Hybrid Journal   (Followers: 4)
Intl. J. of Petroleum Engineering     Hybrid Journal   (Followers: 2)
Intl. J. of Planning and Scheduling     Hybrid Journal   (Followers: 3)
Intl. J. of Pluralism and Economics Education     Hybrid Journal  
Intl. J. of Portfolio Analysis and Management     Hybrid Journal   (Followers: 4)
Intl. J. of Postharvest Technology and Innovation     Hybrid Journal   (Followers: 3, SJR: 0.144, CiteScore: 0)
Intl. J. of Power and Energy Conversion     Hybrid Journal   (Followers: 3, SJR: 0.132, CiteScore: 0)
Intl. J. of Power Electronics     Hybrid Journal   (Followers: 25, SJR: 0.233, CiteScore: 1)
Intl. J. of Powertrains     Hybrid Journal   (Followers: 2)
Intl. J. of Precision Technology     Hybrid Journal   (Followers: 1)
Intl. J. of Private Law     Hybrid Journal   (Followers: 10, SJR: 0.101, CiteScore: 0)
Intl. J. of Process Management and Benchmarking     Hybrid Journal   (Followers: 3, SJR: 0.314, CiteScore: 1)
Intl. J. of Process Systems Engineering     Hybrid Journal   (Followers: 2)
Intl. J. of Procurement Management     Hybrid Journal   (Followers: 12, SJR: 0.331, CiteScore: 1)
Intl. J. of Product Development     Hybrid Journal   (Followers: 1, SJR: 0.209, CiteScore: 1)
Intl. J. of Product Lifecycle Management     Hybrid Journal   (Followers: 1, SJR: 0.328, CiteScore: 1)
Intl. J. of Productivity and Quality Management     Hybrid Journal   (Followers: 7, SJR: 0.352, CiteScore: 1)
Intl. J. of Project Organisation and Management     Hybrid Journal   (Followers: 18, SJR: 0.273, CiteScore: 1)
Intl. J. of Public Law and Policy     Hybrid Journal   (Followers: 11, SJR: 0.108, CiteScore: 0)
Intl. J. of Public Policy     Hybrid Journal   (Followers: 4, SJR: 0.128, CiteScore: 0)
Intl. J. of Public Sector Performance Management     Hybrid Journal   (Followers: 11, SJR: 0.142, CiteScore: 0)
Intl. J. of Qualitative Research in Services     Hybrid Journal   (Followers: 4)
Intl. J. of Quality and Innovation     Hybrid Journal   (Followers: 6)
Intl. J. of Quality Engineering and Technology     Hybrid Journal   (Followers: 4, SJR: 0.134, CiteScore: 0)
Intl. J. of Quantitative Research in Education     Hybrid Journal   (Followers: 4)
Intl. J. of Radio Frequency Identification Technology and Applications     Hybrid Journal   (Followers: 4)
Intl. J. of Rapid Manufacturing     Hybrid Journal   (Followers: 3)
Intl. J. of Reasoning-based Intelligent Systems     Hybrid Journal   (SJR: 0.126, CiteScore: 0)
Intl. J. of Reliability and Safety     Hybrid Journal   (Followers: 12, SJR: 0.201, CiteScore: 0)
Intl. J. of Renewable Energy Technology     Hybrid Journal   (Followers: 10)
Intl. J. of Research, Innovation and Commercialisation     Hybrid Journal  
Intl. J. of Revenue Management     Hybrid Journal   (Followers: 2, SJR: 0.154, CiteScore: 0)
Intl. J. of Risk Assessment and Management     Hybrid Journal   (Followers: 15, SJR: 0.142, CiteScore: 0)
Intl. J. of Satellite Communications Policy and Management     Hybrid Journal   (Followers: 12)
Intl. J. of Security and Networks     Hybrid Journal   (Followers: 11, SJR: 0.212, CiteScore: 1)
Intl. J. of Sensor Networks     Hybrid Journal   (Followers: 4, SJR: 0.25, CiteScore: 1)
Intl. J. of Service and Computing Oriented Manufacturing     Hybrid Journal   (Followers: 2)
Intl. J. of Services and Operations Management     Hybrid Journal   (Followers: 5, SJR: 0.288, CiteScore: 1)
Intl. J. of Services and Standards     Hybrid Journal   (Followers: 1, SJR: 0.13, CiteScore: 0)
Intl. J. of Services Operations and Informatics     Hybrid Journal   (Followers: 1, SJR: 0.106, CiteScore: 0)
Intl. J. of Services Sciences     Hybrid Journal  
Intl. J. of Services Technology and Management     Hybrid Journal   (SJR: 0.129, CiteScore: 0)
Intl. J. of Services, Economics and Management     Hybrid Journal   (SJR: 0.118, CiteScore: 0)
Intl. J. of Shipping and Transport Logistics     Hybrid Journal   (Followers: 6, SJR: 0.416, CiteScore: 1)
Intl. J. of Signal and Imaging Systems Engineering     Hybrid Journal   (SJR: 0.179, CiteScore: 1)
Intl. J. of Simulation and Process Modelling     Hybrid Journal   (Followers: 5, SJR: 0.259, CiteScore: 1)
Intl. J. of Six Sigma and Competitive Advantage     Hybrid Journal   (Followers: 3, SJR: 0.161, CiteScore: 0)
Intl. J. of Smart Grid and Green Communications     Hybrid Journal   (Followers: 1)
Intl. J. of Smart Technology and Learning     Hybrid Journal   (Followers: 3)
Intl. J. of Social and Humanistic Computing     Hybrid Journal   (Followers: 1)
Intl. J. of Social Computing and Cyber-Physical Systems     Hybrid Journal   (Followers: 1)
Intl. J. of Social Entrepreneurship and Innovation     Hybrid Journal   (Followers: 21)
Intl. J. of Social Media and Interactive Learning Environments     Hybrid Journal   (Followers: 16)
Intl. J. of Social Network Mining     Hybrid Journal   (Followers: 2)
Intl. J. of Society Systems Science     Hybrid Journal  
Intl. J. of Soft Computing and Networking     Hybrid Journal   (Followers: 1)
Intl. J. of Software Engineering, Technology and Applications     Hybrid Journal   (Followers: 5)
Intl. J. of Space Science and Engineering     Hybrid Journal   (Followers: 10)
Intl. J. of Space-Based and Situated Computing     Hybrid Journal   (Followers: 2)
Intl. J. of Spatial, Temporal and Multimedia Information Systems     Hybrid Journal   (Followers: 1)
Intl. J. of Spatio-Temporal Data Science     Hybrid Journal  
Intl. J. of Sport Management and Marketing     Hybrid Journal   (Followers: 9, SJR: 0.377, CiteScore: 1)
Intl. J. of Strategic Business Alliances     Hybrid Journal   (Followers: 3)
Intl. J. of Strategic Change Management     Hybrid Journal   (Followers: 11)
Intl. J. of Strategic Engineering Asset Management     Hybrid Journal   (Followers: 4)
Intl. J. of Structural Engineering     Hybrid Journal   (Followers: 11, SJR: 0.326, CiteScore: 1)
Intl. J. of Supply Chain and Inventory Management     Hybrid Journal   (Followers: 13)
Intl. J. of Supply Chain and Operations Resilience     Hybrid Journal   (Followers: 7)
Intl. J. of Surface Science and Engineering     Hybrid Journal   (Followers: 7, SJR: 0.412, CiteScore: 1)
Intl. J. of Sustainable Agricultural Management and Informatics     Hybrid Journal   (Followers: 1)
Intl. J. of Sustainable Aviation     Hybrid Journal   (Followers: 3)
Intl. J. of Sustainable Design     Hybrid Journal   (Followers: 9)
Intl. J. of Sustainable Development     Hybrid Journal   (Followers: 15, SJR: 0.2, CiteScore: 0)
Intl. J. of Sustainable Economy     Hybrid Journal  
Intl. J. of Sustainable Manufacturing     Hybrid Journal   (Followers: 4)
Intl. J. of Sustainable Materials and Structural Systems     Hybrid Journal   (Followers: 3)
Intl. J. of Sustainable Real Estate and Construction Economics     Hybrid Journal   (Followers: 1)
Intl. J. of Sustainable Society     Hybrid Journal   (Followers: 3, SJR: 0.297, CiteScore: 1)
Intl. J. of Sustainable Strategic Management     Hybrid Journal   (Followers: 4)
Intl. J. of Swarm Intelligence     Hybrid Journal   (Followers: 1)
Intl. J. of System Control and Information Processing     Hybrid Journal   (Followers: 4)
Intl. J. of System of Systems Engineering     Hybrid Journal   (Followers: 2, SJR: 0.212, CiteScore: 0)
Intl. J. of Systems, Control and Communications     Hybrid Journal   (Followers: 4, SJR: 0.142, CiteScore: 0)
Intl. J. of Teaching and Case Studies     Hybrid Journal   (Followers: 5)
Intl. J. of Technoentrepreneurship     Hybrid Journal   (Followers: 1, SJR: 0.105, CiteScore: 0)
Intl. J. of Technological Learning, Innovation and Development     Hybrid Journal   (Followers: 6, SJR: 0.231, CiteScore: 0)

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Similar Journals
Journal Cover
International Journal of Intelligent Systems Technologies and Applications
Journal Prestige (SJR): 0.152
Number of Followers: 2  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1740-8865 - ISSN (Online) 1740-8873
Published by Inderscience Publishers Homepage  [447 journals]
  • Machine learning techniques using python for data analysis in performance
           evaluation
    • Authors: J.V.N. Lakshmi
      Pages: 3 - 18
      Abstract: Machine learning algorithms are used to parallelise the workloads. To achieve paramount performance required parameters are tuned in the algorithms. The jobs are implemented using machine learning techniques using various parameters. The performance is examined by executing various features and verifying time constraints depending on the assignments for a cluster. The attempt is made to obtain minimum execution time using python language for implementing machine learning algorithms. Supervised and unsupervised techniques of machine learning algorithms are used differentiating the performance evaluation and time efficiency. Linear regression, logistic regression and K-means clustering techniques are used to evaluate the data analytic jobs. This implementation reveals the best performance of supervised algorithms over unsupervised for data analysis. This paper is an attempt made to analyse the machine learning techniques and evaluates the timer feature on various methods irrespective of supervised or unsupervised.
      Keywords: machine learning; linear regression; logistic regression; K-means; EM
      Citation: International Journal of Intelligent Systems Technologies and Applications, Vol. 17, No. 1/2 (2018) pp. 3 - 18
      PubDate: 2018-05-08T23:20:50-05:00
      DOI: 10.1504/IJISTA.2018.091584
      Issue No: Vol. 17, No. 1/2 (2018)
       
  • Wind energy potential estimation with prediction of wind speed
           distribution
    • Authors: Manish Kumar, Cherian Samuel
      Pages: 19 - 41
      Abstract: Integration of renewable distributed generation technology with radial power distribution system is rapidly growing. Among the number of available renewable energy sources, the role of wind energy in the power sector is very important. In this work, authors have estimated the wind energy potential at Banaras Hindu University (BHU), India. Estimation of wind energy potential depends on statistical analysis of wind speed distribution, which will give us the best-fitted probability density function of the desired location. For statistical analysis of wind speed distribution, authors have taken hourly data of BHU centre from the source of National Renewable Energy Laboratory (NREL), USA for the 12-month period. A statistical R-programming language tool has been used for the computational work. In this work, authors have considered Weibull, Gamma and Lognormal probability distributions for getting best-fitted distribution. After the analysis, result shows for the given wind speed data of BHU area, Weibull distribution is the best-fitted one.
      Keywords: statistical analysis; wind speed; wind energy potential; renewable energy; renewable distributed generation; probability distribution; goodness-of-fit
      Citation: International Journal of Intelligent Systems Technologies and Applications, Vol. 17, No. 1/2 (2018) pp. 19 - 41
      PubDate: 2018-05-08T23:20:50-05:00
      DOI: 10.1504/IJISTA.2018.091585
      Issue No: Vol. 17, No. 1/2 (2018)
       
  • Enhanced portable text to speech converter for visually impaired
    • Authors: Chithra Selvaraj, N. Bhalaji
      Pages: 42 - 54
      Abstract: The handwritten text reader is designed to help the visually impaired listen to an audio read-back of printed and handwritten scanned text. A hand-held page scanner is used to scan the text to be read. The image from the scanner is sent to the application in the paired Android phone over Bluetooth. An open source optical character recognition (OCR) engine, Tesseract is used to extract the text from the image, and this extracted text is converted to speech. Tesseract OCR engine is further trained to recognise handwritten text for a specific user. This OCR engine is trained with handwritten datasets. In addition to English, the application supports two regional languages - Hindi and Bengali.
      Keywords: handwriting recognition; Tesseract; OCR; optical character recognition; text to speech; Android; visually impaired
      Citation: International Journal of Intelligent Systems Technologies and Applications, Vol. 17, No. 1/2 (2018) pp. 42 - 54
      PubDate: 2018-05-08T23:20:50-05:00
      DOI: 10.1504/IJISTA.2018.091586
      Issue No: Vol. 17, No. 1/2 (2018)
       
  • Multi spectral image classification using cluster ensemble technique
    • Authors: K. Radhika, S. Varadarajan, Y. Muralimohanbabu
      Pages: 55 - 69
      Abstract: Satellite image classification is an imperative system utilised as a part of remote sensing. Primary data of extraordinary significance to different difficulties can be acquired straightforwardly from Land-cover observation. Different information partitions inferred by various clustering methods can be gathered into a new solution by cluster ensembles. Supervised iterative expectation-maximisation (EM) method can be initialised by cluster ensemble based strategy which will be examined in the paper. The performance of clustering of the proposed method is compared with individual clustering of the ensemble for medium resolution and a very high spatial resolution images. The accuracy measurements have done with different test points. The state of art techniques are giving less accuracy and are not well defined. This paper will explore the possibility of all accuracy parameters with supervised classification results. The accuracy parameters are well tested and compared in this paper with various start of art techniques.
      Keywords: classification; image; satellite; ensemble; resolution; accuracy; kappa; multi spectral; classifier; validation
      Citation: International Journal of Intelligent Systems Technologies and Applications, Vol. 17, No. 1/2 (2018) pp. 55 - 69
      PubDate: 2018-05-08T23:20:50-05:00
      DOI: 10.1504/IJISTA.2018.091587
      Issue No: Vol. 17, No. 1/2 (2018)
       
  • Simultaneous scheduling of jobs, machines and tools considering tool
           transfer times in multi-machine FMS using new nature-inspired algorithms
    • Authors: N. Sivarami Reddy, D.V. Ramamurthy, K. Prahlada Rao
      Pages: 70 - 88
      Abstract: This paper addresses simultaneous scheduling of jobs, machines and tools considering tool transfer times (TTTs) between machines, to generate best optimal sequences that minimise makespan in a multi-machine flexible manufacturing system (FMS). Performance of FMS is expected to improve by effective utilisation of its resources, by proper integration and synchronisation of their scheduling. Aim of this paper is to address joint scheduling of jobs, machine and tools in an FMS consisting of machines, central tool magazine and tool transporter considering TTTs. Three nature-inspired algorithms namely Symbiotic Organisms Search algorithm, Crow search algorithm and Flower pollination algorithm, are proposed for solving joint jobs, machine and tool scheduling problems considering TTTs between machines with minimum makespan as objective. The proposed algorithms are numerically tested on various problems and results are compared. The results show that FPA algorithm yields better results for simultaneous scheduling of jobs, machines and tools considering TTTs between machines.
      Keywords: flexible manufacturing systems; simultaneous scheduling of jobs; tools and machines; tool transporter; symbiotic organisms search algorithm; crow search algorithm; flower pollination algorithm
      Citation: International Journal of Intelligent Systems Technologies and Applications, Vol. 17, No. 1/2 (2018) pp. 70 - 88
      PubDate: 2018-05-08T23:20:50-05:00
      DOI: 10.1504/IJISTA.2018.091588
      Issue No: Vol. 17, No. 1/2 (2018)
       
  • Grammar rule-based sentiment categorisation model for classification
           of Tamil tweets
    • Authors: Nadana Ravishankar, R. Shriram
      Pages: 89 - 97
      Abstract: The advent of social media has enabled people to easily and publicly express their ideas on a movie/product in such a way that it reaches millions of people within no time. This research aims to implement a tool that would be helpful in predicting the genre of the movies as perceived by the audience through linguistic rules and natural language processing (NLP) tool kit. This paper focuses on development of rule-based sentiment categorising tool for Tamil tweets and a tool has been developed using Python and NLP tool kit. Furthermore, a model is designed to determine the opinion along with genre classification of Tamil movies. For this work, a set of genres are selected from Tamil movies with public tweets based on sentiment analysis. We find that the tool classifies the genre of a particular movie provided by user tweets and validated our approach with domain experts and baseline models.
      Keywords: Tamil tweets; sentiment analysis; natural language processing; NLP; grammar rules; data mining
      Citation: International Journal of Intelligent Systems Technologies and Applications, Vol. 17, No. 1/2 (2018) pp. 89 - 97
      PubDate: 2018-05-08T23:20:50-05:00
      DOI: 10.1504/IJISTA.2018.091589
      Issue No: Vol. 17, No. 1/2 (2018)
       
  • Empirical study of feature selection methods over classification
           algorithms
    • Authors: N. Bhalaji, K.B. Sundhara Kumar, Chithra Selvaraj
      Pages: 98 - 108
      Abstract: Feature selection methods are deployed in machine-learning algorithms for reducing the redundancy in the dataset and to increase the clarity in the system models without loss of much information. The objective of this paper is to investigate the performance of feature selection methods when they are exposed to different datasets and different classification algorithms. In this paper, we have investigated standard parameters such as accuracy, precision and recall over two feature selection algorithms namely Chi-Square feature selection and Boruta feature selection algorithms. Observations of the experiments conducted using R studio resulted around 5-6% increased performance in above said parameters when they were exposed to Boruta feature selection algorithm. The experiment was done on two different datasets with different set of features and we have used the following five standard classification algorithms - Naive Bayes, decision tree, support vector machines (SVM), random forest and gradient boosting.
      Keywords: classification; feature selection; Boruta; Chi-square; ensemble classifiers
      Citation: International Journal of Intelligent Systems Technologies and Applications, Vol. 17, No. 1/2 (2018) pp. 98 - 108
      PubDate: 2018-05-08T23:20:50-05:00
      DOI: 10.1504/IJISTA.2018.091590
      Issue No: Vol. 17, No. 1/2 (2018)
       
  • Improvement of power quality in microgrids using predictive controller
    • Authors: Prajith Prabhakar, H. Vennila
      Pages: 109 - 122
      Abstract: Microgrid is a low voltage grid which is subjected to disturbances. The distributed energy resources are connected to the LV bus by means of power electronic converters. The power quality issues are analysed with model predictive control (MPC) algorithm in both - grid connected and islanded modes. But the islanded mode is analysed separately. A new model is suggested for the islanded mode with non- linear loads. Predictive control based distribution static compensator (DSTATCOM) injects voltages at the point of common coupling (PCC) in the microgrid. Reactive power compensation and mitigation of harmonics are done with the help of new proposed model. The principles and the proposed algorithm are verified by Matlab/Simulink simulation. Simulation results suggest that this control method can decrease the power quality issues and increase the microgrid stability.
      Keywords: power quality; active power control; microgrid; predictive control; distribution static compensator; DSTATCOM
      Citation: International Journal of Intelligent Systems Technologies and Applications, Vol. 17, No. 1/2 (2018) pp. 109 - 122
      PubDate: 2018-05-08T23:20:50-05:00
      DOI: 10.1504/IJISTA.2018.091591
      Issue No: Vol. 17, No. 1/2 (2018)
       
  • GA tuned two degree of freedom PID controller for time delay systems
    • Authors: P. Febina Beevi, T.K. Sunil Kumar, Jeevamma Jacob
      Pages: 123 - 135
      Abstract: This paper addresses the problem of design of a two degree of freedom (2-DOF) PID controller for time delay systems. The proposed approach is to design 2-DOF PID controller using a novel method which combines model order reduction, approximate model matching (AMM) concepts as well as optimisation techniques. The conventional PID controllers are usually in 1-DOF structure. The problem of finding the parameters of the 2-DOF PID controller is formulated as that of obtaining the solution of a set of non-homogeneous linear equations. The proposed method not only ensures the stability of the closed loop system with a 2-DOF PID controller but also satisfies the required performance criteria. The developed method does not pose any restriction either on the order of the model or on the structure/order of the controller transfer function. Moreover, this method is computationally simple and easy to implement. Simulation results demonstrate the effectiveness of the proposed method.
      Keywords: approximate model matching; model; model order reduction; non-homogeneous linear equations; optimisation techniques; performance criteria; stability; time delay; transfer function; 2-DOF PID controller
      Citation: International Journal of Intelligent Systems Technologies and Applications, Vol. 17, No. 1/2 (2018) pp. 123 - 135
      PubDate: 2018-05-08T23:20:50-05:00
      DOI: 10.1504/IJISTA.2018.091592
      Issue No: Vol. 17, No. 1/2 (2018)
       
  • Reactive frequency band-based real-time motor imagery
           classification
    • Authors: Sumanta Bhattacharyya, Manoj Kumar Mukul
      Pages: 136 - 152
      Abstract: The requirement of an effective online processing algorithm becomes very vital to fulfilling the demand of the low-cost brain-computer interface (BCI) system. The authors proposed a very first and robust unsupervised machine learning algorithm, for the real-time classification of movement imagination. The reactive frequency band (RFB) of the individual subject has been identified through the dominant frequency detection algorithm over the training dataset. Based on the identified RFB, the feature extraction process has been applied to the testing dataset. The estimated 'feature' further classified as per probabilistic Bayesian classifier. The effectiveness of the proposed RFB detection method of electroencephalogram (EEG) signal is validated by self-generated artificial sine wave signal, single subject and nine subject movement imagery (MI) BCI competition dataset. The proposed method of EEG signal processing outperformed the conventional wavelet-based BCI competition II results and the wavelet-based algorithm applied over the BCI competition IV dataset.
      Keywords: brain-computer interface; BCI; electroencephalogram; EEG; movement imagery; MI; reactive frequency band; RFB; short-time Fourier transforms; STFT; temporal relative spectral power; TRSP; wavelet
      Citation: International Journal of Intelligent Systems Technologies and Applications, Vol. 17, No. 1/2 (2018) pp. 136 - 152
      PubDate: 2018-05-08T23:20:50-05:00
      DOI: 10.1504/IJISTA.2018.091593
      Issue No: Vol. 17, No. 1/2 (2018)
       
  • A comprehensive solution for risk management in software development
           projects
    • Authors: Raghavi K. Bhujang, V. Suma
      Pages: 153 - 175
      Abstract: Risk management is a never ending process in the life cycle of a software project. For efficient risk management, it is necessary to have deep understanding of risk, its types, mitigation strategies so that either the risk is avoidable in future or the impact of the same can be brought down. This paper essentially deals with comprehensive understanding of risk from different perspectives and offers a solution-research methodology for efficient risk management. Risk is prioritised based on the impact that is measured with the help of essential parameters that are inevitable to complete the development cycle of the project.
      Authors have proposed enhanced risk analysis (ERA) approach to identify measure and calculate the occurrence of risk which can get prioritised. Based on the priority, solution is applied either to mitigate or to bring down the impact of these risks leaning towards the successful completion of the software development project on time.
      Keywords: risk management; classification of risk; risk mitigation strategies; risk management solution-methodology
      Citation: International Journal of Intelligent Systems Technologies and Applications, Vol. 17, No. 1/2 (2018) pp. 153 - 175
      PubDate: 2018-05-08T23:20:50-05:00
      DOI: 10.1504/IJISTA.2018.091597
      Issue No: Vol. 17, No. 1/2 (2018)
       
  • Area efficient SDR receiver without and with dynamic partial
           reconfiguration
    • Authors: T. Thammi Reddy, B.K. Madhavi, K. Lal Kishore
      Pages: 176 - 194
      Abstract: Dynamic partial reconfiguration (DPR) technique is a very efficient for low-cost field programmable gate array (FPGA) for realising several application categories like signal processing. The present work demonstrates a generic framework for implementing Software Defined Radio (SDR) based communication system using DPR. The work switches contexts with two partial reconfiguration blocks. Namely spectrum estimation and frequency shift keying (FSK) receiver blocks. The former uses the streaming type fast Fourier transform (FFT) and later uses frequency shifting and filtering stages. The completely developed FSK receiver is simulated using Modelsim. Xilinx Zynq 7010 SoC with DPR is used for implementation. An FSK signal with symbol rate 64 Kbps is used to drive the analogue to digital converter (ADC) input. The work demonstrates novel direction for SDR implementation with DPR for low-area FPGAs. The results shows 45% lesser FPGA-DSP48 slices are used compared to without-DPR. Reduced power dissipation is observed as by-product.
      Keywords: DPR; dynamic partial reconfiguration; FSK generic demodulator; xilinx zynq 7010 soC; DDS; direct digital synthesiser; finite impulse response; FIR filter; Redpitaya
      Citation: International Journal of Intelligent Systems Technologies and Applications, Vol. 17, No. 1/2 (2018) pp. 176 - 194
      PubDate: 2018-05-08T23:20:50-05:00
      DOI: 10.1504/IJISTA.2018.091599
      Issue No: Vol. 17, No. 1/2 (2018)
       
  • A new method for the optical flow estimation and segmentation of moving
           objects 'NMES'
    • Authors: Amina Ourchani, Zine-Eddine Baarir, Abdelmalik Taleb-Ahmed
      Pages: 195 - 209
      Abstract: Segmentation of moving objects in video sequence is essential task in computer vision. This paper focuses on developing a new method for discriminate moving objects from a static background, focusing on the combination of motion, colour and texture features. First, we have used block-matching for computing the optical flow, we also have taken in consideration the result of frame difference, to improve the quality of the optical flow. Moreover, we have used the k-means clustering algorithm owing to group the pixels, having similar features. Second, the result of the grouping pixels is used as an input in Chan-Vese model, in order to attract the evolving contour of moving objects contours. To evaluate the performance of our proposed method, we experiment it on challenging sequences. It has shown that our method provides an improved segmentation results.
      Keywords: segmentation; moving object; optical flow; colour feature; texture feature; k-means; frame difference; Chan-Vese model; block-matching; occlusion
      Citation: International Journal of Intelligent Systems Technologies and Applications, Vol. 17, No. 1/2 (2018) pp. 195 - 209
      PubDate: 2018-05-08T23:20:50-05:00
      DOI: 10.1504/IJISTA.2018.091600
      Issue No: Vol. 17, No. 1/2 (2018)
       
  • Visual substitution system for room labels identification based on text
           detection and recognition
    • Authors: Hanen Jabnoun, Faouzi Benzarti, Frédéric Morain-Nicolier, Hamid Amiri
      Pages: 210 - 228
      Abstract: Vision is an essential human sense which is playing the most important role in human perception about surrounding environment. However such information is generally inaccessible for blind people. In order to enable these persons to overcome such incapability, we propose a system for identifying the neighbouring scene. In fact, the environment is labelled as a first step and then we present a personalised and adaptive method for labels detection and recognition. The automatic analysis involves the detection of personalised markers employed to extract the region of interest followed by the perspectives rectification based on homography estimation. We use the stroke width transform (SWT) to extract the text from the detected label and crop it into words and letters. The extracted text is identified using images correlation. Finally, as a substitution for visual modality, a vocal transformation of the recognised text is performed.
      Keywords: text recognition; image rectification; text detection; homography estimation; markers detection; SWT; stroke width transform; images correlation; video analysis; indoor navigation; blind people
      Citation: International Journal of Intelligent Systems Technologies and Applications, Vol. 17, No. 1/2 (2018) pp. 210 - 228
      PubDate: 2018-05-08T23:20:50-05:00
      DOI: 10.1504/IJISTA.2018.091601
      Issue No: Vol. 17, No. 1/2 (2018)
       
  • Ordered weighted averaging operator used to enhance the accuracy of fuzzy
           predictor based on genetic algorithm
    • Authors: Rohit Garg, Md. Tabrez Nafis, Bindu Garg
      Pages: 229 - 253
      Abstract: In this paper, we have proposed a novel concept to optimise ordered weighted aggregation (OWA) based fuzzy time series predictor (FTSP) using genetic algorithm (GA). Firstly, accurateness of FTSP is enhanced by applying effective method of aggregation on past observations using OWA weights. These weights are determined on the basis of importance of fuzzy set in the system by employing regularly increasing monotonic (RIM) quantifiers. Subsequently, GA is used to optimise membership functions of FTSP by generating its wide range of parameters in the region of time series. Lastly, this model is capable of controlling its performance by varying GA parameters. To assess proposed method, we used dataset of enrolments and outpatient visits, as used by almost all previous research in this domain. Evaluation results indicate coalescing OWA and GA for FTSP significantly reduced mean square error (MSE) and average forecasting error rate (AFER).
      Keywords: time series analysis; fuzzy logic; GA; genetic algorithm; optimisation; OWA; ordered weighted aggregation
      Citation: International Journal of Intelligent Systems Technologies and Applications, Vol. 17, No. 1/2 (2018) pp. 229 - 253
      PubDate: 2018-05-08T23:20:50-05:00
      DOI: 10.1504/IJISTA.2018.091602
      Issue No: Vol. 17, No. 1/2 (2018)
       
 
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